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001-es BibID:	BIBFORM009183
Első szerző:	Kalmár Tünde (gépészmérnök)
Cím:	Neural network predictor for thermal comfort conditions / Tünde Kalmár, Géza Husi, Sahin Yildirim, Ferenc Kalmár, Ikbal Eski
Dátum:	2009
ISSN:	1844-6043
Megjegyzések:	This paper is investigated thermal comfort conditions having surface and fresh air introduced directly in a room using neural network predictors. The investigation is divided into two steps. First step; experimental room system result is obtained the Building Physics Laboratory of the Department of Building Services, University of Debrecen. The room could be heated by radiator, on the wall, on the floor and on the ceiling heating system methods. During the operation of the heating system a series of measurements are derived, involving 20 students as subjects during education, in order to establish the effects of intermittency on thermal comfort feeling. The second step of the study; according to experimental results, some neural network predictors are used modelling the experimental room. Four types of ANNs are used to compare each other. From the results, it is noted that the proposed Radial Basis Neural Network gives the best results for analyzing thermal comfort conditions.
Tárgyszavak:	Műszaki tudományok Gépészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban thermal comfort surface heating neural networks
Megjelenés:	Journal of Computer Science and Control Systems. - 2 : 2 (2009), p. 97-102. -
További szerzők:	Yildirim, Şahin (1966-) (gépészmérnök) Eski, Ikbal Husi Géza (1962-) (gépészmérnök, mechatronikai mérnök, számítógépes tervezőmérnök) Kalmár Ferenc (1974-) (gépészmérnök)
Internet cím:	elektronikus változat elektronikus változat
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